Table 1.

Binary Logistic Regression to Predict Intention to Seek Cervical Cancer Screening based on Socio-Demographic Characteristics

Variables	n (%)	β	Wald	p-value	OR	95% CI for OR
						Lower	Upper
Level of Education
High	93 (17)	1.15	7.97	0.005	3.16	1.42	7.02
Low	350 (65)	0.98	14.35	0.001	2.67	1.61	4.42
No education (Ref.)	97 (18)
Marital Status
Married	297 (55)	0.16	0.47	0.492	1.17	0.74	1.86
Not married (Ref.)	243 (45)
Religion
Christianity	486 (90)	0.09	0.06	0.808	1.09	0.55	2.18
Islam (Ref.)	54 (10)
Age (in years)
30 and above	427 (79)	0.11	0.15	0.704	1.12	0.63	2.00
Under 30 (Ref.)	113 (21)
Employment Status
Working	311 (58)	0.49	4.02	0.045	1.63	1.01	2.64
Not working (Ref.)	229 (42)
Ability to Afford Cervical Cancer Screening
Affordable	255 (47)	0.22	0.68	0.411	1.25	0.73	2.13
Not affordable (Ref.)	285 (53)
Constant		2.16	35.35	0.001	8.70